code: def keras_model():
      inp = Input(shape=(2, 3), name="input_1")
      x = Permute((2, 1))(inp)
      y = Concatenate(axis=1)([x, x])
      x = Activation("relu", name="relu")(x)
      out = Concatenate(axis=1)([x, y])
      model = Model(inputs=inp, outputs=out)
      return model
  
file_path: hls4ml/test/pytest/test_transpose_concat.py
imports: from pathlib import Path
  import numpy
  import pytest
  from tensorflow.keras.layers import Activation, Concatenate, Input, Permute
  from tensorflow.keras.models import Model
  import hls4ml
label_desc: Use image node_id 2 for calling a global function with example usage: keras_model() and returns: model